Post-Earning Announcement Drift and Value-Glamour Anomalies in NSE Listed Firms

Purpose of the article: Of the various market anomalies, the Value-Glamour anomaly and Post-Earnings Announcement Drifts (PEAD) have consistently attracted the attention of researchers. Prior studies have established that the reaction of value stocks and glamour stocks to the earnings announcement differs significantly and there is a close relationship between the PEAD and abnormal returns arising due to earning announcement surprises. We have studied the drift patterns of various value and glamour portfolios and tested whether the direction of the earnings announcement abnormal return is opposite to that of earnings surprise in the Indian market.Methodology: We use the statistics of 100 firms listed on the NSE for a sample period of 2014–2018. We use a set of 1130 observations analysed using the expectations formation approach around earnings and evaluate the post earnings announcement drift. We use the Earnings Response Coefficients to find the association between abnormal stock returns and earnings surprises.Scientific aim: The aim of this research is to improve the knowledge of market anomalies in developing markets such as India focusing on the impact of earnings announcement on growth and value stocks.Findings: We find that a negative association of abnormal stock returns with surprise in accounting earnings announcements. The stocks, which are overvalued or undervalued, are properly priced after the earnings announcements. Our results refute the earlier studies evidencing the strong support in favour of market inefficiency in the Indian context, particularly with respect to publicly available earnings information.Conclusions: The Indian stock market tends to be efficient with respect to earnings announcements and therefore does not produce excessive returns. However, a heterogeneity with respect to earnings announcement may exist among the category of stocks depending upon liquidity position. Superior returns cannot be derived by traders and investors on a consistent basis from value-glamour anomaly.

Analysts’ forecasts between last consensus and earning announcement date

Purpose Thomson financial database reports a monthly consensus measure of analysts’ forecasts in the third week of every month, and firms’ earnings announcement dates are usually different from the last consensus calculation date. Thus, there is a gap between the last consensus calculation date and the earnings announcement date of firms. This study aims to address the question: “Do analysts issue forecasts that are slightly higher than the consensus number to increase the accuracy of their forecasts?” Design/methodology/approach This study is based on a sample of 91,172 quarterly earnings forecasts of various firms from 1990 to 2007 made between the last consensus calculation date and quarterly earnings announcement date. Descriptive statistics and statistical tests were used to analyze the data. Findings The findings propose that contrary to expectation, analysts’ forecasts between the last consensus calculation date and earnings announcement date are smaller than the consensus number. Also, the forecasts made between the last consensus and earnings announcement date is not as informative as forecasts made at other times as they could merely reflect the analysts’ herding behavior resulting from their career concerns. Originality/value This study provides a link between the literature that studies firms’ meet or beat analysts’ earnings phenomenon and analysts’ forecast decision-making context. This study also provides useful implications for the literature on the information content of analysts’ forecasts.

Effectiveness of Technical Analysis Signals Around the Earning Announcements in Malaysian Stock Market

Technical analysis is an analysis that widely applied by the investor in the stock market. However, various corporate announcements could cause the market to react, and the most significant corporate announcement is the earnings announcement (1). Thus, this study examines the effectiveness of technical analysis signals around the earning announcements dates in Malaysian stock market. In doing so, this study applied and tested four technical indicators, namely Simple Moving Average (SMA), Relative Strength Index (RSI), Stochastic (K line), and Moving Average Convergence/Divergence (MACD) in Malaysian stock market. The sample of this study consisted of 30 largest capitalization companies from the main market of Kuala Lumpur Stock Exchange (KLSE). Meanwhile, the sample period covered from 2nd January 2014 to 31st March 2016. This study found that Moving Average Convergence/Divergence (MACD) significantly produced higher returns as compared to the other technical indicator before the earning announcement dates in financial year 2014 and 2015. The combined indicator of MA-MACD also found to have higher return in financial year 2015. The findings conclude that the technical analysis signals can be used to generate returns before earning announcement dates.

A STUDY ON THE IMPACT OF BUSINESS NEWS ON INVESTORS’ DECISION

The movement of the share price is always being the interesting topic for the researcher. The growing researches focus on the impact of bonus share announcement, stock split, right share, earning announcement, dividend announcement, and business announcement. There are more than 500 papers has been published in known journals which confirmed that stock prices react to news (Kothari and Warner (2006). But they are failed to integrate the sentiment of the published business specific news and its impact. Secondly, the studies which focused on long term, they failed to consider the potential problem of publication bias (Antweiler and Frank (2006). In this paper, the impact of Business specific News was measured with the help of sentiment analysis. Total 392 business specific news of 5 companies for 3 years were collected and analyzed. To check the impact of news, if any, the volume reactions were examined. The result indicates that there is an impact of news. Secondly, AAR and CAAR supported that informed investors can earn abnormal high return. The returns of positive and negative news were compared and it was concluded that there is no significant difference between AAR of positive business news and negative business news.

Are individual investors affected by attention?

Purpose – Based on the theory of limited attention, the purpose of this paper is to investigate whether the investor behavior is influenced by attention, using the sample from earning announcement in China. Design/methodology/approach – Empirical research using the earning announcement data in China. Specifically, the authors use the sample from 2005 to 2010 in listed A-share firms with earning announcements in Shanghai and Shenzhen stock market. Panel data regressions are used with Newey and West (1987) to correct for the potential heteroskedasticity and autocorrelation. The empirical results strongly support the hypothesis that limited attention impact investor behavior in China. Findings – The authors find that the immediate price and volume reaction to earning surprise is much weaker and post-announcement drift is much stronger when a greater number of firms make earning announcements on the same day. The authors explain these findings mainly from behavioral bias. When investors process multiple information signals immediately or perform multiple objects simultaneously, their attention will be allocated selectively due to cognitive constraints. Such limited attention causes severe underreaction to immediate earnings announcement, therefore leads to mispricing abnormal related to public accounting information. In the long-run, the market adjusted and there is post-announcement drift. Research limitations/implications – Consistent with Hirshleifer et al. (2009), the findings in this study indicate that individual investors’ behaviors are influenced by their limited attention in China. The results are different from Yu and Wang (2010) conclusions that same-day concentrated announcement help investors and facilitate information dissemination in China. The findings are explained by the investor distraction hypothesis proposed by Hirshleifer et al. (2009) that investor distraction causes market underreaction. Practical implications – The arrival of simultaneously extraneous earning information cause market prices and trading volume to react slowly to the relevant news about a firm because competing information signals distract investor from a given firm, causing market price to underreact to relevant news. These finding help us understand investor behavior and the impact of limited attention on security market. Social implications – Investor limited attention not only affects their stock-buying behavior, but also has an important impact on the efficiency of security market. Specifically, limited attention drive immediate underreaction to earning announcement and the post-earning announcement drift, especially when a greater number of same-day earning announcements are made by other firms. Originality/value – Limited attention affects security market in China.

Examining Overreaction in Indian Stock Market for Quarterly News

Market Overreaction is a very familiar and age-old craze amongst traders. Pigou (1929) defined it as a ‘conducting rod along which an error of optimism or pessimism, once generated, propagates itself about the business world.’ The question of whether or not Indian stock prices market is overreacted during any stock-specific news is best answered by a comprehensive and concurrent analysis of the various tests and data available while using the event study. This study wants to address the impact of size, volatility and asymmetry in the terms of investors’ overreaction to the firm-specific news not only individually but also jointly. The outcome of this study helps to solve the problem concerning the extent to which quarterly announcements have informational content, and whether the investors are affected by the signals. The present study substantiates the policy recommendation for the market players as well as for the analysts in estimating earning announcement events under different market condition and different market capitalization value of the firm.